home_page.py

# -*- coding: utf-8 -*-

import streamlit as st

def app():
    
    title1 = '<p style="color:Blue; font-size: 40px;">An Analysis of Twitter Comments During Covid-19</p>'
    st.markdown(title1, unsafe_allow_html=True)
    #st.title("An Analysis of Twitter Comments During Covid-19")
        
    st.markdown("Can we predict public sentiment as new Covid-19 variants emerge?")
             
    st.markdown("Two years after the first recorded outbreak of Covid-19, the world continues to deal with constant \
                changes and uncertainties within their everyday lives as variants take hold of public health and policy. \
                The pandemic has placed a significant amount of stress on individuals, from job security and  economic \
                stability to overall health. Popularity of social media sites has increased in the last 15-years, and as it\
                serves many purposes, one of which is to be used as a large platform for people to be heard and seen.")
             
    st.markdown("By analyzing user posts across Twitter, we hope to uncover a trend within individual \
                sentiments regarding their outlook on the world and their own lives. Has there been a significant shift in \
                perspectives from when the first outbreak began, to the Delta variant, and now Omicron? Can we predict where \
                public sentiment will shift, as new variants continue to surface? Can an increase of \
                awareness for resources be timed in such a way that provides more help during the hardest hit periods?")